MATH 452

Stochastic Processes

Units: 1.5

Hours: 3-0-0

Introduction to the branch of probability theory which deals with the mathematical analysis of systems that evolve in time while undergoing chance fluctuations. Main topics include random walks, Markov chains, Poisson processes, birth and death processes, renewal theory. Examples illustrate wide applicability of stochastic processes in many branches of science and technology.


Undergraduate course in Mathematics offered by the Department of Mathematics and Statistics in the Faculty of Science.

Fall 2019 Spring 2020 Summer 2020

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

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